Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox
Picture for Yao Zhao

Yao Zhao

Cross-modality Discrepant Interaction Network for RGB-D Salient Object Detection


Aug 04, 2021
Chen Zhang, Runmin Cong, Qinwei Lin, Lin Ma, Feng Li, Yao Zhao, Sam Kwong

Figure 1 for Cross-modality Discrepant Interaction Network for RGB-D Salient Object Detection
Figure 2 for Cross-modality Discrepant Interaction Network for RGB-D Salient Object Detection
Figure 3 for Cross-modality Discrepant Interaction Network for RGB-D Salient Object Detection
Figure 4 for Cross-modality Discrepant Interaction Network for RGB-D Salient Object Detection
* 13 pages, 6 figures, Accepted by ACM MM 2021 
  Access Paper or Ask Questions

Dynamic Feature Regularized Loss for Weakly Supervised Semantic Segmentation


Aug 03, 2021
Bingfeng Zhang, Jimin Xiao, Yao Zhao

Figure 1 for Dynamic Feature Regularized Loss for Weakly Supervised Semantic Segmentation
Figure 2 for Dynamic Feature Regularized Loss for Weakly Supervised Semantic Segmentation
Figure 3 for Dynamic Feature Regularized Loss for Weakly Supervised Semantic Segmentation
Figure 4 for Dynamic Feature Regularized Loss for Weakly Supervised Semantic Segmentation
* Under Review 
  Access Paper or Ask Questions

BridgeNet: A Joint Learning Network of Depth Map Super-Resolution and Monocular Depth Estimation


Jul 27, 2021
Qi Tang, Runmin Cong, Ronghui Sheng, Lingzhi He, Dan Zhang, Yao Zhao, Sam Kwong

Figure 1 for BridgeNet: A Joint Learning Network of Depth Map Super-Resolution and Monocular Depth Estimation
Figure 2 for BridgeNet: A Joint Learning Network of Depth Map Super-Resolution and Monocular Depth Estimation
Figure 3 for BridgeNet: A Joint Learning Network of Depth Map Super-Resolution and Monocular Depth Estimation
Figure 4 for BridgeNet: A Joint Learning Network of Depth Map Super-Resolution and Monocular Depth Estimation
* 10 pages, 7 figures, Accepted by ACM MM 2021 
  Access Paper or Ask Questions

Depth-Aware Multi-Grid Deep Homography Estimation with Contextual Correlation


Jul 06, 2021
Lang Nie, Chunyu Lin, Kang Liao, Shuaicheng Liu, Yao Zhao

Figure 1 for Depth-Aware Multi-Grid Deep Homography Estimation with Contextual Correlation
Figure 2 for Depth-Aware Multi-Grid Deep Homography Estimation with Contextual Correlation
Figure 3 for Depth-Aware Multi-Grid Deep Homography Estimation with Contextual Correlation
Figure 4 for Depth-Aware Multi-Grid Deep Homography Estimation with Contextual Correlation

  Access Paper or Ask Questions

Multi-modal Graph Learning for Disease Prediction


Jul 01, 2021
Shuai Zheng, Zhenfeng Zhu, Zhizhe Liu, Zhenyu Guo, Yang Liu, Yao Zhao

Figure 1 for Multi-modal Graph Learning for Disease Prediction
Figure 2 for Multi-modal Graph Learning for Disease Prediction
Figure 3 for Multi-modal Graph Learning for Disease Prediction
Figure 4 for Multi-modal Graph Learning for Disease Prediction
* 10 pages, 4 figures, 2 tables 
  Access Paper or Ask Questions

Unsupervised Deep Image Stitching: Reconstructing Stitched Features to Images


Jun 24, 2021
Lang Nie, Chunyu Lin, Kang Liao, Shuaicheng Liu, Yao Zhao

Figure 1 for Unsupervised Deep Image Stitching: Reconstructing Stitched Features to Images
Figure 2 for Unsupervised Deep Image Stitching: Reconstructing Stitched Features to Images
Figure 3 for Unsupervised Deep Image Stitching: Reconstructing Stitched Features to Images
Figure 4 for Unsupervised Deep Image Stitching: Reconstructing Stitched Features to Images
* Accepted by IEEE Transactions on Image Processing 
  Access Paper or Ask Questions

Affinity Attention Graph Neural Network for Weakly Supervised Semantic Segmentation


Jun 08, 2021
Bingfeng Zhang, Jimin Xiao, Jianbo Jiao, Yunchao Wei, Yao Zhao

Figure 1 for Affinity Attention Graph Neural Network for Weakly Supervised Semantic Segmentation
Figure 2 for Affinity Attention Graph Neural Network for Weakly Supervised Semantic Segmentation
Figure 3 for Affinity Attention Graph Neural Network for Weakly Supervised Semantic Segmentation
Figure 4 for Affinity Attention Graph Neural Network for Weakly Supervised Semantic Segmentation
* Accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TAPMI 2021) 
  Access Paper or Ask Questions

Consistent Multiple Graph Embedding for Multi-View Clustering


May 11, 2021
Yiming Wang, Dongxia Chang, Zhiqiang Fu, Yao Zhao

Figure 1 for Consistent Multiple Graph Embedding for Multi-View Clustering
Figure 2 for Consistent Multiple Graph Embedding for Multi-View Clustering
Figure 3 for Consistent Multiple Graph Embedding for Multi-View Clustering
Figure 4 for Consistent Multiple Graph Embedding for Multi-View Clustering

  Access Paper or Ask Questions

Seeing All From a Few: Nodes Selection Using Graph Pooling for Graph Clustering


Apr 30, 2021
Yiming Wang, Dongxia Chang, Zhiqian Fu, Yao Zhao

Figure 1 for Seeing All From a Few: Nodes Selection Using Graph Pooling for Graph Clustering
Figure 2 for Seeing All From a Few: Nodes Selection Using Graph Pooling for Graph Clustering
Figure 3 for Seeing All From a Few: Nodes Selection Using Graph Pooling for Graph Clustering
Figure 4 for Seeing All From a Few: Nodes Selection Using Graph Pooling for Graph Clustering

  Access Paper or Ask Questions

Auto-weighted low-rank representation for clustering


Apr 26, 2021
Zhiqiang Fu, Yao Zhao, Dongxia Chang, Xingxing Zhang, Yiming Wang

Figure 1 for Auto-weighted low-rank representation for clustering
Figure 2 for Auto-weighted low-rank representation for clustering
Figure 3 for Auto-weighted low-rank representation for clustering
Figure 4 for Auto-weighted low-rank representation for clustering

  Access Paper or Ask Questions

Planning with Entity Chains for Abstractive Summarization


Apr 15, 2021
Shashi Narayan, Yao Zhao, Joshua Maynez, Gonçalo Simoes, Ryan McDonald

Figure 1 for Planning with Entity Chains for Abstractive Summarization
Figure 2 for Planning with Entity Chains for Abstractive Summarization
Figure 3 for Planning with Entity Chains for Abstractive Summarization
Figure 4 for Planning with Entity Chains for Abstractive Summarization
* 11 pages 
  Access Paper or Ask Questions

Towards Fast and Accurate Real-World Depth Super-Resolution: Benchmark Dataset and Baseline


Apr 13, 2021
Lingzhi He, Hongguang Zhu, Feng Li, Huihui Bai, Runmin Cong, Chunjie Zhang, Chunyu Lin, Meiqin Liu, Yao Zhao

Figure 1 for Towards Fast and Accurate Real-World Depth Super-Resolution: Benchmark Dataset and Baseline
Figure 2 for Towards Fast and Accurate Real-World Depth Super-Resolution: Benchmark Dataset and Baseline
Figure 3 for Towards Fast and Accurate Real-World Depth Super-Resolution: Benchmark Dataset and Baseline
Figure 4 for Towards Fast and Accurate Real-World Depth Super-Resolution: Benchmark Dataset and Baseline

  Access Paper or Ask Questions

Progressively Complementary Network for Fisheye Image Rectification Using Appearance Flow


Mar 31, 2021
Shangrong Yang, Chunyu Lin, Kang Liao, Chunjie Zhang, Yao Zhao

Figure 1 for Progressively Complementary Network for Fisheye Image Rectification Using Appearance Flow
Figure 2 for Progressively Complementary Network for Fisheye Image Rectification Using Appearance Flow
Figure 3 for Progressively Complementary Network for Fisheye Image Rectification Using Appearance Flow
Figure 4 for Progressively Complementary Network for Fisheye Image Rectification Using Appearance Flow
* Accepted by CVPR2021 
  Access Paper or Ask Questions

Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation


Mar 15, 2021
Zhizhe Liu, Zhenfeng Zhu, Shuai Zheng, Yang Liu, Jiayu Zhou, Yao Zhao

Figure 1 for Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation
Figure 2 for Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation
Figure 3 for Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation
Figure 4 for Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation
* 12 pages, 10 figures, submitted to JBHI 
  Access Paper or Ask Questions

Adversarial Graph Disentanglement


Mar 12, 2021
Shuai Zheng, Zhenfeng Zhu, Zhizhe Liu, Shuiwang Ji, Yao Zhao

Figure 1 for Adversarial Graph Disentanglement
Figure 2 for Adversarial Graph Disentanglement
Figure 3 for Adversarial Graph Disentanglement
Figure 4 for Adversarial Graph Disentanglement
* In process 
  Access Paper or Ask Questions

Does deep machine vision have just noticeable difference (JND)?


Feb 16, 2021
Jian Jin, Xingxing Zhang, Xin Fu, Huan Zhang, Weisi Lin, Jian Lou, Yao Zhao

Figure 1 for Does deep machine vision have just noticeable difference (JND)?
Figure 2 for Does deep machine vision have just noticeable difference (JND)?
Figure 3 for Does deep machine vision have just noticeable difference (JND)?
Figure 4 for Does deep machine vision have just noticeable difference (JND)?
* 9 pages, 8 figures 
  Access Paper or Ask Questions

Image Splicing Detection, Localization and Attribution via JPEG Primary Quantization Matrix Estimation and Clustering


Feb 02, 2021
Yakun Niu, Benedetta Tondi, Yao Zhao, Rongrong Ni, Mauro Barni

Figure 1 for Image Splicing Detection, Localization and Attribution via JPEG Primary Quantization Matrix Estimation and Clustering
Figure 2 for Image Splicing Detection, Localization and Attribution via JPEG Primary Quantization Matrix Estimation and Clustering
Figure 3 for Image Splicing Detection, Localization and Attribution via JPEG Primary Quantization Matrix Estimation and Clustering
Figure 4 for Image Splicing Detection, Localization and Attribution via JPEG Primary Quantization Matrix Estimation and Clustering

  Access Paper or Ask Questions

Efficient video integrity analysis through container characterization


Jan 26, 2021
Pengpeng Yang, Daniele Baracchi, Massimo Iuliani, Dasara Shullani, Rongrong Ni, Yao Zhao, Alessandro Piva

Figure 1 for Efficient video integrity analysis through container characterization
Figure 2 for Efficient video integrity analysis through container characterization
Figure 3 for Efficient video integrity analysis through container characterization
Figure 4 for Efficient video integrity analysis through container characterization
* IEEE Journal of Selected Topics in Signal Processing, vol. 14, no. 5, pp. 947-954, Aug. 2020 
 * Accepted by IEEE Journal of Selected Topics in Signal Processing 
  Access Paper or Ask Questions

Learning Edge-Preserved Image Stitching from Large-Baseline Deep Homography


Dec 11, 2020
Lang Nie, Chunyu Lin, Kang Liao, Yao Zhao

Figure 1 for Learning Edge-Preserved Image Stitching from Large-Baseline Deep Homography
Figure 2 for Learning Edge-Preserved Image Stitching from Large-Baseline Deep Homography
Figure 3 for Learning Edge-Preserved Image Stitching from Large-Baseline Deep Homography
Figure 4 for Learning Edge-Preserved Image Stitching from Large-Baseline Deep Homography
* 12 pages, 12 figures 
  Access Paper or Ask Questions

Towards Natural Robustness Against Adversarial Examples


Dec 04, 2020
Haoyu Chu, Shikui Wei, Yao Zhao

Figure 1 for Towards Natural Robustness Against Adversarial Examples
Figure 2 for Towards Natural Robustness Against Adversarial Examples
Figure 3 for Towards Natural Robustness Against Adversarial Examples
Figure 4 for Towards Natural Robustness Against Adversarial Examples

  Access Paper or Ask Questions

Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images


Nov 26, 2020
Qijian Zhang, Runmin Cong, Chongyi Li, Ming-Ming Cheng, Yuming Fang, Xiaochun Cao, Yao Zhao, Sam Kwong

Figure 1 for Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images
Figure 2 for Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images
Figure 3 for Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images
Figure 4 for Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images
* Accepted by IEEE Transactions on Image Processing, EORSSD dataset: https://github.com/rmcong/EORSSD-dataset 
  Access Paper or Ask Questions

CoADNet: Collaborative Aggregation-and-Distribution Networks for Co-Salient Object Detection


Nov 10, 2020
Qijian Zhang, Runmin Cong, Junhui Hou, Chongyi Li, Yao Zhao

Figure 1 for CoADNet: Collaborative Aggregation-and-Distribution Networks for Co-Salient Object Detection
Figure 2 for CoADNet: Collaborative Aggregation-and-Distribution Networks for Co-Salient Object Detection
Figure 3 for CoADNet: Collaborative Aggregation-and-Distribution Networks for Co-Salient Object Detection
Figure 4 for CoADNet: Collaborative Aggregation-and-Distribution Networks for Co-Salient Object Detection
* Accepted by NeurIPS 2020 
  Access Paper or Ask Questions

Learning Deep Interleaved Networks with Asymmetric Co-Attention for Image Restoration


Oct 29, 2020
Feng Li, Runmin Cong, Huihui Bai, Yifan He, Yao Zhao, Ce Zhu

Figure 1 for Learning Deep Interleaved Networks with Asymmetric Co-Attention for Image Restoration
Figure 2 for Learning Deep Interleaved Networks with Asymmetric Co-Attention for Image Restoration
Figure 3 for Learning Deep Interleaved Networks with Asymmetric Co-Attention for Image Restoration
Figure 4 for Learning Deep Interleaved Networks with Asymmetric Co-Attention for Image Restoration
* 15pages, 15figures 
  Access Paper or Ask Questions

Mining Generalized Features for Detecting AI-Manipulated Fake Faces


Oct 27, 2020
Yang Yu, Rongrong Ni, Yao Zhao

* 14 pages, 9 figures. This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 
  Access Paper or Ask Questions

LID 2020: The Learning from Imperfect Data Challenge Results


Oct 17, 2020
Yunchao Wei, Shuai Zheng, Ming-Ming Cheng, Hang Zhao, Liwei Wang, Errui Ding, Yi Yang, Antonio Torralba, Ting Liu, Guolei Sun, Wenguan Wang, Luc Van Gool, Wonho Bae, Junhyug Noh, Jinhwan Seo, Gunhee Kim, Hao Zhao, Ming Lu, Anbang Yao, Yiwen Guo, Yurong Chen, Li Zhang, Chuangchuang Tan, Tao Ruan, Guanghua Gu, Shikui Wei, Yao Zhao, Mariia Dobko, Ostap Viniavskyi, Oles Dobosevych, Zhendong Wang, Zhenyuan Chen, Chen Gong, Huanqing Yan, Jun He

Figure 1 for LID 2020: The Learning from Imperfect Data Challenge Results
Figure 2 for LID 2020: The Learning from Imperfect Data Challenge Results
Figure 3 for LID 2020: The Learning from Imperfect Data Challenge Results
Figure 4 for LID 2020: The Learning from Imperfect Data Challenge Results
* Summary of the 2nd Learning from Imperfect Data Workshop in conjunction with CVPR 2020 
  Access Paper or Ask Questions

Taking Modality-free Human Identification as Zero-shot Learning


Oct 02, 2020
Zhizhe Liu, Xingxing Zhang, Zhenfeng Zhu, Shuai Zheng, Yao Zhao, Jian Cheng

Figure 1 for Taking Modality-free Human Identification as Zero-shot Learning
Figure 2 for Taking Modality-free Human Identification as Zero-shot Learning
Figure 3 for Taking Modality-free Human Identification as Zero-shot Learning
Figure 4 for Taking Modality-free Human Identification as Zero-shot Learning
* 12 pages, 8 figures 
  Access Paper or Ask Questions

A Parallel Down-Up Fusion Network for Salient Object Detection in Optical Remote Sensing Images


Oct 02, 2020
Chongyi Li, Runmin Cong, Chunle Guo, Hua Li, Chunjie Zhang, Feng Zheng, Yao Zhao

Figure 1 for A Parallel Down-Up Fusion Network for Salient Object Detection in Optical Remote Sensing Images
Figure 2 for A Parallel Down-Up Fusion Network for Salient Object Detection in Optical Remote Sensing Images
Figure 3 for A Parallel Down-Up Fusion Network for Salient Object Detection in Optical Remote Sensing Images
Figure 4 for A Parallel Down-Up Fusion Network for Salient Object Detection in Optical Remote Sensing Images
* Neurocomputing, 415, pp. 411-420, 2020 
  Access Paper or Ask Questions

A Deep Ordinal Distortion Estimation Approach for Distortion Rectification


Jul 21, 2020
Kang Liao, Chunyu Lin, Yao Zhao

Figure 1 for A Deep Ordinal Distortion Estimation Approach for Distortion Rectification
Figure 2 for A Deep Ordinal Distortion Estimation Approach for Distortion Rectification
Figure 3 for A Deep Ordinal Distortion Estimation Approach for Distortion Rectification
Figure 4 for A Deep Ordinal Distortion Estimation Approach for Distortion Rectification

  Access Paper or Ask Questions

Pseudo-LiDAR Point Cloud Interpolation Based on 3D Motion Representation and Spatial Supervision


Jun 20, 2020
Haojie Liu, Kang Liao, Chunyu Lin, Yao Zhao, Yulan Guo

Figure 1 for Pseudo-LiDAR Point Cloud Interpolation Based on 3D Motion Representation and Spatial Supervision
Figure 2 for Pseudo-LiDAR Point Cloud Interpolation Based on 3D Motion Representation and Spatial Supervision
Figure 3 for Pseudo-LiDAR Point Cloud Interpolation Based on 3D Motion Representation and Spatial Supervision
Figure 4 for Pseudo-LiDAR Point Cloud Interpolation Based on 3D Motion Representation and Spatial Supervision
* 10 pages, 6 figures 
  Access Paper or Ask Questions

SEAL: Segment-wise Extractive-Abstractive Long-form Text Summarization


Jun 18, 2020
Yao Zhao, Mohammad Saleh, Peter J. Liu

Figure 1 for SEAL: Segment-wise Extractive-Abstractive Long-form Text Summarization
Figure 2 for SEAL: Segment-wise Extractive-Abstractive Long-form Text Summarization
Figure 3 for SEAL: Segment-wise Extractive-Abstractive Long-form Text Summarization
Figure 4 for SEAL: Segment-wise Extractive-Abstractive Long-form Text Summarization

  Access Paper or Ask Questions